A controller dynamically chooses a state-dependent transmission rate on a static, point-to-point wireless link by varying tranmission power over time. The transmitter is modeled as a finite-buffer Markovian queue with adjustable service rates. That is, data packets arrive to the system according to a Poisson process and packet size is exponentially distributed. The controller chooses a transmission rate from a fixed set $A$ of available values, depending on the backlog in the system. The objective is to minimize long-run average energy consumption subject to a quality of service constraint, which is expressed as an upper bound on the packet drop rate. An explicit formula is developed for the optimal transmission rate as a function of the packet queue length. In the second half of the talk I will extend the model and the results to a fading channel.

Baris Ata received his B.S. in Industrial Engineering from Bilkent University in Turkey in 1997. He received master's degrees in Business Research, Statistics, Mathematics, and Engineering Economic Systems and Operations Research from Stanford University. He Received his Ph.D. in Operations, Information and Technology from Stanford in 2003. He is currently a Donald P. Jacobs Scholar in Managerial Economics and Decision Sciences at Kellogg. His research areas include dynamic control of manufacturing systems and communication networks, power control in wireless communication, and revenue management.